摘要
本文分析了影响供热负荷的因素,利用回归分析法建立了供热负荷预测模型,因其误差较大,所以在其基础上提出利用神经网络法进行建模,并进行了误差分析,采用MATLAB软件进行仿真,从而得到了更为准确的供热负荷预测模型。
The factors affecting the heating load are analyzed, and the forecasting model of heating load is established by regression analysis. On the basis of its large error, the neural network method is proposed to model the heating load, and the error analysis is carried out. The MATLAB software is used to simulate the heating load, thus a more accurate prediction model of heating load is obtained.
作者
李思琦
蒋志坚
Li Siqi,Jiang Zhijian
出处
《区域供热》
2018年第4期42-46,共5页
District Heating
关键词
神经网络
非线性系统
负荷预测
供热负荷
节能
Neural Network
Nonlinear System
Load Prediction
Heating Demand
Energy Conservation